Why do data scientists use Sklearn's StandardScaler and what does it do?
Been doing some Machine Learning “learning” in the past two weeks. I’m interested in learning to use TensorFlow.js at a decent level and solve a personal problem — software estimation and road-mapping, for the teams I work with. This has led me down the darkest alleys of Machine Learning blogs. Most of the relevant material I found uses TensorFlow but with Python. I understand why data scientists choose Python over other languages.
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